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Unmixing Incoherent Structures of Big Data by Randomized or Greedy
  Decomposition

Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition

2 September 2013
Dinesh Manocha
Dacheng Tao
ArXiv (abs)PDFHTML

Papers citing "Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition"

7 / 7 papers shown
Title
Alternating Least-Squares for Low-Rank Matrix Reconstruction
Alternating Least-Squares for Low-Rank Matrix Reconstruction
Dave Zachariah
Martin Sundin
M. Jansson
Saikat Chatterjee
57
69
0
12 Jun 2012
Bilateral Random Projections
Bilateral Random Projections
Dinesh Manocha
Dacheng Tao
56
67
0
22 Dec 2011
Large-Scale Convex Minimization with a Low-Rank Constraint
Large-Scale Convex Minimization with a Low-Rank Constraint
Shai Shalev-Shwartz
Alon Gonen
Ohad Shamir
88
160
0
08 Jun 2011
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Dinesh Manocha
Dacheng Tao
Xindong Wu
108
204
0
21 Jul 2010
A Gradient Descent Algorithm on the Grassman Manifold for Matrix
  Completion
A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion
Raghunandan H. Keshavan
Sewoong Oh
103
393
0
27 Oct 2009
Guaranteed Rank Minimization via Singular Value Projection
Guaranteed Rank Minimization via Singular Value Projection
Raghu Meka
Prateek Jain
Inderjit S. Dhillon
183
554
0
30 Sep 2009
Rank-Sparsity Incoherence for Matrix Decomposition
Rank-Sparsity Incoherence for Matrix Decomposition
V. Chandrasekaran
Sujay Sanghavi
P. Parrilo
A. Willsky
CML
255
1,111
0
11 Jun 2009
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